code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function test_dispatch_missing self
begin
set logic = dict
assert raises KeyError dispatch
end function | def test_dispatch_missing(self):
self.skill.logic = {}
self.assertRaises(KeyError, self.skill.dispatch) | Python | nomic_cornstack_python_v1 |
function multiply_two_nums num1 num2
begin
set sign = if expression num1 at 0 < 0 ? num2 at 0 < 0 then - 1 else 1
set num1 at 0 = absolute num1 at 0
set num2 at 0 = absolute num2 at 0
set result = list 0 * length num1 + length num2
for i in reversed range length num1
begin
for j in reversed range length num2
begin
set ... | def multiply_two_nums(num1, num2):
sign = -1 if (num1[0] < 0) ^ (num2[0] < 0) else 1
num1[0] = abs(num1[0])
num2[0] = abs(num2[0])
result = [0]*(len(num1) + len(num2))
for i in reversed(range(len(num1))):
for j in reversed(range(len(num2))):
result[i+j+1] += num1[i] * num2[j]
... | Python | zaydzuhri_stack_edu_python |
function distance x1 y1 z1 x2 y2 z2
begin
return square root x1 - x2 ^ 2 + y1 - y2 ^ 2 + z1 - z2 ^ 2
end function | def distance(x1, y1, z1, x2, y2, z2):
return math.sqrt((x1-x2)**2+(y1-y2)**2+(z1-z2)**2) | Python | nomic_cornstack_python_v1 |
comment create a 300x300 canvas.
comment create a line drawing function that takes 2 parameters:
comment the x and y coordinates of the line's starting point
comment and draws a line from that point to the center of the canvas.
comment draw 3 lines with that function.
from tkinter import *
set root = call Tk
set canvas... | # create a 300x300 canvas.
# create a line drawing function that takes 2 parameters:
# the x and y coordinates of the line's starting point
# and draws a line from that point to the center of the canvas.
# draw 3 lines with that function.
from tkinter import *
root = Tk()
canvas = Canvas(root, width=300, height=300)... | Python | zaydzuhri_stack_edu_python |
set a = list comprehension input for i in range 3
print a at 0 at 0 + a at 1 at 1 + a at 2 at 2 sep=string | a = [input() for i in range(3)]
print(a[0][0]+a[1][1]+a[2][2], sep='') | Python | zaydzuhri_stack_edu_python |
function test_calculate_offsets_word_part self
begin
set applicable_terms = list tuple string act string a
set text = string I am about to act on this transaction.
set t = call Terms none
set matches = call calculate_offsets text applicable_terms
assert equal 1 length matches
assert equal 1 length matches at 0 at 2
end... | def test_calculate_offsets_word_part(self):
applicable_terms = [('act', 'a')]
text = "I am about to act on this transaction."
t = Terms(None)
matches = t.calculate_offsets(text, applicable_terms)
self.assertEqual(1, len(matches))
self.assertEqual(1, len(matches[0][2])) | Python | nomic_cornstack_python_v1 |
function validate_ldap_dn param options=none
begin
if not param
begin
return
end
try
begin
import ldap
import ldap.dn
end
except ImportError
begin
set msg = string The python ldap package is required to use this functionality.
raise call ParamValidationError msg
end
try
begin
call str2dn param
end
except DECODING_ERROR... | def validate_ldap_dn(param, options=None):
if not param:
return
try:
import ldap
import ldap.dn
except ImportError:
msg = (
'The python ldap package is required to use this functionality.'
)
raise ParamValidationError(msg)
try:
ldap.dn... | Python | nomic_cornstack_python_v1 |
function load_xml self title_info_element
begin
call set_attributes title_info_element self
set title_element = find title_info_element string {%s}title % MODS
if title_element is not none
begin
set new_title = title
call load_xml title_element
set title = new_title
end
set nonsort_element = find title_info_element str... | def load_xml(self,
title_info_element):
set_attributes(title_info_element,self)
title_element = title_info_element.find('{%s}title' % ns.MODS)
if title_element is not None:
new_title = title()
new_title.load_xml(title_element)
self.title = new... | Python | nomic_cornstack_python_v1 |
function bytecode_to_string self
begin
set out = call StringIO
call write_bytecode out
return call getvalue
end function | def bytecode_to_string(self):
out = StringIO()
self.write_bytecode(out)
return out.getvalue() | Python | nomic_cornstack_python_v1 |
function get self
begin
call is_empty
print _collection at - 1
del _collection at - 1
end function | def get(self):
self.is_empty()
print(self._collection[-1])
del self._collection[-1] | Python | nomic_cornstack_python_v1 |
function getExpirationDate self
begin
return call getExpirationDate
end function | def getExpirationDate(self):
return self.getStrikes()[0].getExpirationDate() | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Tue Mar 31 03:52:56 2015 @author: Adrián de las Matas de la Fuente
import circleDetection as circleD
import croppingImages as cropImg
import ImageOperations as imgOperations
import setupFile as setup
import SVMModel as svmModel
import croppingLeftBorder as clb
import comp... | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 31 03:52:56 2015
@author: Adrián de las Matas de la Fuente
"""
import circleDetection as circleD
import croppingImages as cropImg
import ImageOperations as imgOperations
import setupFile as setup
import SVMModel as svmModel
import croppingLeftBorder as clb
import computi... | Python | zaydzuhri_stack_edu_python |
string **Selection sort 1. 오름차순 - 숫자: 작은수 -> 큰수 - 영문: A->Z - 한글: ㄱ->ㅎ 2. 내림차순 - 숫자: 큰수 -> 작은수 - 영문: Z->A - 한글: ㅎ->ㄱ
comment HW02Pandas02_12_Sort01Selection_김채현
set sortNum = list 2 5 6 1 2 8 33 77 12
for i in range length sortNum - 1
begin
for j in range i + 1 length sortNum
begin
if sortNum at i > sortNum at j
begin
c... | '''
**Selection sort
1. 오름차순
- 숫자: 작은수 -> 큰수
- 영문: A->Z
- 한글: ㄱ->ㅎ
2. 내림차순
- 숫자: 큰수 -> 작은수
- 영문: Z->A
- 한글: ㅎ->ㄱ
'''
#HW02Pandas02_12_Sort01Selection_김채현
sortNum = [2,5,6,1,2,8,33,77,12]
for i in range(len(sortNum)-1):
for j in range(i+1,len(sortNum)):
if (sortNum[i]>sortNum[j]):
Temp=sortNum[i] #교환 A... | Python | zaydzuhri_stack_edu_python |
function delete_datasource self datasource_name
begin
if datasource_name is none
begin
raise call ValueError string Datasource names must be a datasource name
end
else
begin
set datasource = call get_datasource datasource_name=datasource_name
if datasource
begin
comment remove key until we have a delete method on proje... | def delete_datasource(self, datasource_name: str):
if datasource_name is None:
raise ValueError("Datasource names must be a datasource name")
else:
datasource = self.get_datasource(datasource_name=datasource_name)
if datasource:
# remove key until we h... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Fri Jun 21 12:34:47 2019 @author: Nout
import time
import os
from pathlib import Path
change directory parents at 1
from A22DSE.Parameters.Par_Class_All import Aircraft
from A22DSE.Parameters.Par_Class_Conventional import TotalAC
import numpy as np
import matplotlib.pyplo... | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 21 12:34:47 2019
@author: Nout
"""
import time
import os
from pathlib import Path
os.chdir(Path(__file__).parents[1])
from A22DSE.Parameters.Par_Class_All import Aircraft
from A22DSE.Parameters.Par_Class_Conventional import TotalAC
import numpy as np
import matplotlib.py... | Python | zaydzuhri_stack_edu_python |
comment Softmax //
import matplotlib.pyplot as plt
import numpy as np
comment 100
set x = array range 1 5
function softmax x
begin
return exp x / sum exp x
end function
set y = softmax x
set ratio = y
set labels = y
call pie ratio labels=labels shadow=true startangle=90
show | # Softmax //
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(1, 5) # 100
def softmax(x):
return np.exp(x) / np.sum(np.exp(x))
y = softmax(x)
ratio = y
labels = y
plt.pie(ratio, labels=labels, shadow=True, startangle=90)
plt.show() | Python | zaydzuhri_stack_edu_python |
from forex_python.converter import CurrencyRates
from tkinter import *
from datetime import *
print now
function show_table event
begin
set c = call CurrencyRates
set cur_from = string THB
set dict_currency = call get_rates cur_from
comment print(dict_currency)
set input_amount = decimal get textbox_input_currency
comm... | from forex_python.converter import CurrencyRates
from tkinter import *
from datetime import *
print(datetime.now)
def show_table(event):
c = CurrencyRates()
cur_from = "THB"
dict_currency = c.get_rates(cur_from)
#print(dict_currency)
input_amount = float(textbox_input_currency.g... | Python | zaydzuhri_stack_edu_python |
import logging
from gensim.models import word2vec
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
from bs4 import BeautifulSoup
from keras.preprocessing.text import Tokenizer , text_to_word_sequence
import nltk
import re
from nltk import tokenize
from MasterProject.data_Preprocessing.Datasets impor... | import logging
from gensim.models import word2vec
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
from bs4 import BeautifulSoup
from keras.preprocessing.text import Tokenizer, text_to_word_sequence
import nltk
import re
from nltk import tokenize
from MasterProject.data_Preprocessing.Datasets import... | Python | zaydzuhri_stack_edu_python |
function lineage self
begin
return _parent
end function | def lineage(self) -> 'lngmod.Level':
return self._parent | Python | nomic_cornstack_python_v1 |
import os
import re
import json
import unicodedata
function save_json json_structure outfilename
begin
set tuple _ file_extension = call splitext outfilename
if not file_extension
begin
set outfilename = outfilename + string .json
end
if exists path outfilename
begin
remove os outfilename
end
if is instance json_struct... | import os
import re
import json
import unicodedata
def save_json(json_structure, outfilename):
_, file_extension = os.path.splitext(outfilename)
if not file_extension:
outfilename += ".json"
if os.path.exists(outfilename):
os.remove(outfilename)
if isinstance(json_structure, set):
... | Python | zaydzuhri_stack_edu_python |
function VDegree self *args
begin
return call GeomConvert_CompBezierSurfacesToBSplineSurface_VDegree self *args
end function | def VDegree(self, *args):
return _GeomConvert.GeomConvert_CompBezierSurfacesToBSplineSurface_VDegree(self, *args) | Python | nomic_cornstack_python_v1 |
function clean_up_activation_order self order
begin
set result = list
for name in order
begin
if call is_category name
begin
set cat_desc = categories at name
set present = set order ? set features
comment We eagerly add every dependency, later we will remove duplicates
if present
begin
set tuple total_order _ = call g... | def clean_up_activation_order(self, order):
result = list()
for name in order:
if self.is_category(name):
cat_desc = self.categories[name]
present = set(order) & set(cat_desc.features)
# We eagerly add every dependency, later we will remove duplicates
if present:
... | Python | nomic_cornstack_python_v1 |
function loadSpriteImages path
begin
if not is file path join path path string moves.json
begin
print string Error: 'moves.json' is required to be in folder: { path } !
exit
end
comment make raw string into a python dictionary
set sprite_info = call loadJsonSprite path string moves.json
comment base name is used to bui... | def loadSpriteImages(path):
if not os.path.isfile(os.path.join(path,"moves.json")):
print(f"Error: 'moves.json' is required to be in folder: {path}!")
sys.exit()
# make raw string into a python dictionary
sprite_info = loadJsonSprite(path,"moves.json")
# base name is used to build... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
set cnt = 0
set fmap = dict
for line in open string ./format_data/train.txt
begin
set tokens = split line
set i = 0
for token in tokens
begin
set i = i + 1
if i <= 8
begin
continue
end
comment if not token.startswith('int#xxx'): # XXX: feature filtering
comment continue
if not starts with toke... | #!/usr/bin/python
cnt = 0
fmap = {}
for line in open('./format_data/train.txt'):
tokens = line.split()
i = 0
for token in tokens:
i += 1
if i <= 8:
continue
#if not token.startswith('int#xxx'): # XXX: feature filtering
# continue
if not (token.start... | Python | zaydzuhri_stack_edu_python |
import unittest
from toycache.cache import Cache
from toycache.cache_interface import CacheProtocolCommand , CacheInterface
class CacheInterfaceTestCase extends TestCase
begin
function setUp self
begin
set _cache = cache
set _cache_interface = call CacheInterface _cache
end function
function test_exec_set self
begin
se... | import unittest
from toycache.cache import Cache
from toycache.cache_interface import CacheProtocolCommand, CacheInterface
class CacheInterfaceTestCase(unittest.TestCase):
def setUp(self):
self._cache = Cache()
self._cache_interface = CacheInterface(self._cache)
def test_exec_set(self):
... | Python | zaydzuhri_stack_edu_python |
function blend_transparent background_img overlay_img
begin
comment TODO: this is now very slow..., optimize
comment Perhaps check Pillow's alpha composite
comment https://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.alpha_composite
comment from: https://stackoverflow.com/questions/36921496/how-to-join... | def blend_transparent(background_img, overlay_img):
# TODO: this is now very slow..., optimize
# Perhaps check Pillow's alpha composite
# https://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.alpha_composite
# from: https://stackoverflow.com/questions/36921496/how-to-join-png-with-... | Python | nomic_cornstack_python_v1 |
function plateau_idxs self i
begin
if _r_sp_idxs at i is none
begin
set _r_sp_idxs at i = call r_sp_idx i
end
set sp_idx = _r_sp_idxs at i
if sp_idx == - 1
begin
return tuple - 1 - 1
end
set p_end_idx = sp_idx
for i in call xrange sp_idx - 1 - 1 - 1
begin
if rhos at i + 1 > rhos at i
begin
set p_end_idx = i + 1
break
e... | def plateau_idxs(self, i):
if self._r_sp_idxs[i] is None:
self._r_sp_idxs[i] = self.r_sp_idx(i)
sp_idx = self._r_sp_idxs[i]
if sp_idx == -1: return -1, -1
p_end_idx = sp_idx
for i in xrange(sp_idx-1, -1, -1):
if rhos[i + 1] > rhos[i]:
... | Python | nomic_cornstack_python_v1 |
comment This is my abstract class. It initializes the attributes, I think
class Animal extends object
begin
function __init__ self
begin
comment These are the attributes common to all subclasses
set name = string
set phylum = string
set klass = string
set family = string
set genus = string
set url = string
set li... | # This is my abstract class. It initializes the attributes, I think
class Animal(object):
def __init__(self):
# These are the attributes common to all subclasses
self.name = ""
self.phylum = ""
self.klass = ""
self.family = ""
self.genus = ""
self.url = ""
... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
import math
import outputparse
class Results
begin
set OUTPUT_FOLDERS = list tuple string accuracy_outputs/ string acc
function __init__ self sort=string valid_acc
begin
set p = call Parser sort_column=sort
end function
function top_10 self table=false
begin
return cal... | import matplotlib.pyplot as plt
import numpy as np
import math
import outputparse
class Results:
OUTPUT_FOLDERS=[
('accuracy_outputs/', 'acc'),
]
def __init__(self, sort='valid_acc'):
self.p = outputparse.Parser(sort_column=sort)
def top_10(self, table=False):
return self.top_k(10, table=table)
def to... | Python | zaydzuhri_stack_edu_python |
function get_title self
begin
return title
end function | def get_title(self):
return self.title | Python | nomic_cornstack_python_v1 |
import re
from django.utils.deprecation import MiddlewareMixin
from django.shortcuts import HttpResponse , redirect
function reg request current_path
begin
set permission_list = get session string permission_list list
set flag = false
for permission in permission_list
begin
set ret = match permission current_path
if re... | import re
from django.utils.deprecation import MiddlewareMixin
from django.shortcuts import HttpResponse,redirect
def reg(request,current_path):
permission_list = request.session.get("permission_list", [])
flag = False
for permission in permission_list:
ret = re.match(permission, current_path)
... | Python | zaydzuhri_stack_edu_python |
function archive archive_name files verbose=false
begin
set archive_type = split archive_name string . at - 1
if archive_type != string gz and archive_type != string bz2
begin
error string the archive has to be a *.tar.gz or a *.tar.bz2 file
end
set archive_file = open archive_name string w:%s % archive_type
for file i... | def archive(archive_name, files, verbose=False):
archive_type = archive_name.split('.')[-1]
if archive_type != 'gz' and archive_type != 'bz2':
optparser.error('the archive has to be a *.tar.gz or a *.tar.bz2 file')
archive_file = tarfile.open(archive_name, 'w:%s' % archive_type)
for file in f... | Python | nomic_cornstack_python_v1 |
comment %s - for strings
set name = string Martin
comment %d - for integers
set age = 23
comment %f - for floating point numbers
set height = 180.5
print string %s is %d years old. My height is %f % tuple name age height
comment %.<number of digits>f - Floating point numbers with a fixed amount of digits to the right o... | # %s - for strings
name = "Martin"
# %d - for integers
age = 23
# %f - for floating point numbers
height = 180.5
print("%s is %d years old.\nMy height is %f" % (name, age, height))
# %.<number of digits>f - Floating point numbers with a fixed amount of digits to the right of the dot.
# %x/%X - Integers in hex repr... | Python | zaydzuhri_stack_edu_python |
function sum_list nums
begin
if not nums
begin
return 0
end
return nums at 0 + call sum_list nums at slice 1 : :
end function
comment 15
call sum_list list 1 2 3 4 5 | def sum_list(nums):
if not nums:
return 0
return nums[0] + sum_list(nums[1:])
sum_list([1,2,3,4,5]) # 15 | Python | jtatman_500k |
import turtle
set my_turtle = call Turtle
call showturtle
set my_screen = call Screen
call bgcolor string blue
comment Draw Here
comment draw solid shape
call fillcolor string red
call begin_fill
call goto 200 0
call goto 200 200
call goto 0 200
call goto 0 0
call end_fill
comment set line thickness
call width 10
comme... | import turtle
my_turtle = turtle.Turtle()
my_turtle.showturtle()
my_screen = turtle.Screen()
my_screen.bgcolor('blue')
# Draw Here
my_turtle.fillcolor("red") # draw solid shape
my_turtle.begin_fill()
my_turtle.goto(200, 0)
my_turtle.goto(200, 200)
my_turtle.goto(0, 200)
my_turtle.goto(0, 0)
my_turtle.end_fill()
my_... | Python | zaydzuhri_stack_edu_python |
function _add_user_request self lfn user
begin
if user not in user_requests
begin
set user_requests at user = set
end
if lfn not in user_lfn_requests
begin
set user_lfn_requests at lfn = set
end
add user_requests at user lfn
add user_lfn_requests at lfn user
end function | def _add_user_request(self, lfn, user):
if user not in self.user_requests:
self.user_requests[user] = sets.Set()
if lfn not in self.user_lfn_requests:
self.user_lfn_requests[lfn] = sets.Set()
self.user_requests[user].add(lfn)
self.user_lfn_requests[lfn].add(user) | Python | nomic_cornstack_python_v1 |
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
comment 1. Data
set x_train = array list 1 2 3 4 5 6 7 8 9 10
set y_train = array list 2 4 6 8 10 12 14 16 18 20
set x_test = array list 101 102 103 104 105 106 107 108 109 110
set y_test ... | import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
#1. Data
x_train = np.array([1,2,3,4,5,6,7,8,9,10])
y_train = np.array([2,4,6,8,10,12,14,16,18,20])
x_test = np.array([101, 102, 103, 104, 105, 106, 107, 108, 109, 110])
y_test = np.array... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
comment auther：Liul5
comment date：2019/3/29 13:41
comment tools：PyCharm
comment Python：2.7.15
function house plan
begin
if string # not in plan
begin
return 0
end
set plan = split plan
comment print plan
set raw = list comprehension i for tuple i j in enumerate plan for tuple m n in enumerate j if ... | # coding=utf-8
# auther：Liul5
# date：2019/3/29 13:41
# tools：PyCharm
# Python：2.7.15
def house(plan):
if "#" not in plan:
return 0
plan = plan.split()
# print plan
raw = [i for i, j in enumerate(plan) for m, n in enumerate(j) if n == "#"]
column = [m for i, j in enumerate(plan) for m, n in... | Python | zaydzuhri_stack_edu_python |
function get_post_key self
begin
set response = get session forum_url
set post_key = attrs at string value
return post_key
end function | def get_post_key(self):
response = self.session.get(config.forum_url)
post_key = response.html.xpath("//input[@name='my_post_key']", first=True).attrs['value']
return post_key | Python | nomic_cornstack_python_v1 |
class SocialNetworkUser
begin
function __init__ self name age interests
begin
set name = name
set age = age
set interests = interests
end function
function get_name self
begin
return name
end function
function set_name self name
begin
set name = name
end function
function get_age self
begin
return age
end function
func... | class SocialNetworkUser:
def __init__(self, name, age, interests):
self.name = name
self.age = age
self.interests = interests
def get_name(self):
return self.name
def set_name(self, name):
self.name = name
def get_age(self):
return s... | Python | jtatman_500k |
if m == 0 or n == 0 or length l == 0
begin
print 1
end
set matrix = list comprehension list comprehension 0 for _ in range m for _ in range n
for i in range n
begin
for j in range m
begin
set matrix at i at j = l at i * m + j
end
end
set dp = list comprehension list 0 * m for _ in range n
set dp at n - 1 at m - 1 = max... | if m == 0 or n == 0 or len(l) == 0:
print(1)
matrix = [[0 for _ in range(m)] for _ in range(n)]
for i in range(n):
for j in range(m):
matrix[i][j] = l[i*m+j]
dp = [[0] * m for _ in range(n)]
dp[n-1][m-1] = max(1-matrix[n-1][m-1] ,1)
for i in range(n-2, -1, -1):
dp[i][m-1] = max(dp[i+1][m-... | Python | zaydzuhri_stack_edu_python |
comment @lc app=leetcode id=1815 lang=python3
comment [1815] Maximum Number of Groups Getting Fresh Donuts
comment https://leetcode.com/problems/maximum-number-of-groups-getting-fresh-donuts/description/
comment algorithms
comment Hard (16.72%)
comment Likes: 26
comment Dislikes: 6
comment Total Accepted: 384
comment T... | #
# @lc app=leetcode id=1815 lang=python3
#
# [1815] Maximum Number of Groups Getting Fresh Donuts
#
# https://leetcode.com/problems/maximum-number-of-groups-getting-fresh-donuts/description/
#
# algorithms
# Hard (16.72%)
# Likes: 26
# Dislikes: 6
# Total Accepted: 384
# Total Submissions: 2.2K
# Testcase Exampl... | Python | zaydzuhri_stack_edu_python |
for tuple k v in items d
begin
set d1 at v = k
end
print d
print d1 | for k, v in d.items():
d1[v] = k
print(d)
print(d1)
| Python | zaydzuhri_stack_edu_python |
function modal request subject_pk item_pk
begin
set item = call get_object_or_404 Item pk=item_pk
set subject = call get_object_or_404 Subject pk=subject_pk
set quick_buttons = all
set sections = call convert_string_into_data_type all
set context = dict string item item ; string subject subject ; string sections sectio... | def modal(request, subject_pk, item_pk):
item = get_object_or_404(Item, pk=item_pk)
subject = get_object_or_404(Subject, pk=subject_pk)
quick_buttons = item.modal.all()
sections = convert_string_into_data_type(item.modal.all())
context = {
'item': item,
'subject': subject,
'... | Python | nomic_cornstack_python_v1 |
function test_expose_method self
begin
set f = lambda request -> none
set f_ = call call expose string /test_expose f
call assert_ f_ is f
end function | def test_expose_method(self):
f = lambda request: None
f_ = self.app.expose('/test_expose')(f)
self.assert_(f_ is f) | Python | nomic_cornstack_python_v1 |
function load_profile path profile
begin
set profiles = load path
try
begin
return profiles at profile
end
except KeyError
begin
return call Profile none none none none
end
end function | def load_profile(path, profile):
profiles = load(path)
try:
return profiles[profile]
except KeyError:
return Profile(None, None, None, None) | Python | nomic_cornstack_python_v1 |
comment !/bin/python3
import math
import os
import random
import re
import sys
comment Complete the kangaroo function below.
function kangaroo xv
begin
set x1 = xv at 0
set v1 = xv at 1
set x2 = xv at 2
set v2 = xv at 3
string if x1<x2 and v1>v2: print('YES') elif x1>x2 and v1<v2: print('YES') elif x1==x2: print('YES')... | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the kangaroo function below.
def kangaroo(xv):
x1 = xv[0]
v1 = xv[1]
x2 = xv[2]
v2 = xv[3]
"""
if x1<x2 and v1>v2:
print('YES')
elif x1>x2 and v1<v2:
print('YES')
elif x1==x2:
... | Python | zaydzuhri_stack_edu_python |
string Created on 2018年6月2日 @author: Administrator
from numpy import *
import os
import shutil
comment get the number of lines in the file
function file2matric filename
begin
comment prepare matrix to return
set imagename = list
comment prepare labels return
set classLabelVector = list
set fr = open filename string r... | '''
Created on 2018年6月2日
@author: Administrator
'''
from numpy import *
import os
import shutil
def file2matric(filename): #get the number of lines in the file
imagename = [] #prepare matrix to return
classLabelVector = [] #prepare labels return
fr = open(filename,'r')
... | Python | zaydzuhri_stack_edu_python |
function dominantIndex nums
begin
if length nums == 1
begin
return 0
end
set index = index nums max nums
set a = pop nums index
return if expression a >= max nums * 2 then index else - 1
end function
function dominantIndex_2 nums
begin
if length nums == 1
begin
return 0
end
set Max = 0
set secordMax = 0
set index = 0
f... | def dominantIndex(nums):
if len(nums) == 1:
return 0
index = nums.index(max(nums))
a = nums.pop(index)
return index if a >= max(nums) * 2 else -1
def dominantIndex_2(nums):
if len(nums) == 1:
return 0
Max = 0
secordMax = 0
index = 0
for i in range(len(nums)):
... | Python | zaydzuhri_stack_edu_python |
function test_update_contact_association self
begin
set patient1 = call create_patient dict string mobile_number string 12223334444
set patient2 = call create_patient
set subject_number = subject_number
set node = call create_xml_patient dict string Subject_Number subject_number ; string Mobile_Number string 4333222111... | def test_update_contact_association(self):
patient1 = self.create_patient({'mobile_number': '12223334444'})
patient2 = self.create_patient()
subject_number = patient1.subject_number
node = self.create_xml_patient({'Subject_Number': subject_number,
... | Python | nomic_cornstack_python_v1 |
from itertools import islice
import numpy as np
function vpack arrays shape fill dtype=none
begin
string like `np.vstack` but for `arrays` of different lengths in the first axis. shorter ones will be padded with `fill` at the end.
set array = call full shape fill dtype
for tuple row arr in zip array arrays
begin
set ro... | from itertools import islice
import numpy as np
def vpack(arrays, shape, fill, dtype= None):
"""like `np.vstack` but for `arrays` of different lengths in the first
axis. shorter ones will be padded with `fill` at the end.
"""
array = np.full(shape, fill, dtype)
for row, arr in zip(array, arrays)... | Python | zaydzuhri_stack_edu_python |
for x in range x
begin
for level in range 1 x + 1
begin
print string # * level
end
end
print string następna choinka | for x in range(x):
for level in range(1, x + 1):
print('#' * level)
print("następna choinka")
| Python | zaydzuhri_stack_edu_python |
function _signal_handler *args
begin
set _user_exit = true
end function | def _signal_handler(*args):
self._user_exit = True | Python | nomic_cornstack_python_v1 |
comment Input engloba lo que el usuario debe de escribir desde el teclado en la terminal
comment La funcion print añade un salto de linea por lo que el usuario al contestar
comment lo hace en una linea más abajo
comment print("Cómo te llamas: ")
comment nombre = input()
comment print("Me alegro de conocerte, ",nombre)
... | #Input engloba lo que el usuario debe de escribir desde el teclado en la terminal
#La funcion print añade un salto de linea por lo que el usuario al contestar
# lo hace en una linea más abajo
#print("Cómo te llamas: ")
#nombre = input()
#print("Me alegro de conocerte, ",nombre)
#------------
#Con ,end="" hace que ... | Python | zaydzuhri_stack_edu_python |
from aip import AipOcr
import time
import requests
from bs4 import BeautifulSoup
import urllib.parse , urllib.request
import _thread
string 1、首先是获取图片关键词 2、然后得到百度页面 3、然后根据搜索引擎获得每一个页面问题答案出现的次数，统计最多的，以最多的为最终答案
set config = dict string appId string 10778787 ; string apiKey string sizuhfENuir0VkDszacrIz0K ; string secretKey... | from aip import AipOcr
import time
import requests
from bs4 import BeautifulSoup
import urllib.parse, urllib.request
import _thread
'''
1、首先是获取图片关键词
2、然后得到百度页面
3、然后根据搜索引擎获得每一个页面问题答案出现的次数，统计最多的，以最多的为最终答案
'''
config = {
"appId": "10778787",
"apiKey": "sizuhfENuir0VkDszacrIz0K",
"secretKey": "AjH9S8kAQyzP5vsU... | Python | zaydzuhri_stack_edu_python |
function handle_endtag self tag
begin
string Handler of ending tag processing (overrided, private)
debug format string Encountered an end tag : {0} tag
if tag in sanitizelist
begin
set level = level - 1
return
end
if tag in unclosedTags
begin
return
end
if isNotPurify or tag in whitelist_keys
begin
append data string <... | def handle_endtag(self, tag):
"""
Handler of ending tag processing (overrided, private)
"""
self.log.debug( u'Encountered an end tag : {0}'.format(tag) )
if tag in self.sanitizelist:
self.level -= 1
return
if tag in self.unclosedTags:
r... | Python | jtatman_500k |
async function keep_alive self period=1 margin=0.3
begin
set interval = period
set margin = margin
end function | async def keep_alive(self, period=1, margin=.3):
self.KeepAlive.interval = period
self.KeepAlive.margin = margin | Python | nomic_cornstack_python_v1 |
function clean_strokes sample_strokes factor=100
begin
comment Useful function for exporting data to .json format.
set copy_stroke = list
set added_final = false
for j in range length sample_strokes
begin
set finish_flag = integer sample_strokes at j at 4
if finish_flag == 0
begin
append copy_stroke list integer round... | def clean_strokes(sample_strokes, factor=100):
# Useful function for exporting data to .json format.
copy_stroke = []
added_final = False
for j in range(len(sample_strokes)):
finish_flag = int(sample_strokes[j][4])
if finish_flag == 0:
copy_stroke.append([
... | Python | nomic_cornstack_python_v1 |
function _set_url_channel_max self value
begin
try
begin
set channel_max = integer value
end
except ValueError as exc
begin
raise call ValueError format string Invalid channel_max value {!r}: {!r} value exc
end
set channel_max = channel_max
end function | def _set_url_channel_max(self, value):
try:
channel_max = int(value)
except ValueError as exc:
raise ValueError('Invalid channel_max value {!r}: {!r}'.format(
value,
exc,
))
self.channel_max = channel_max | Python | nomic_cornstack_python_v1 |
function save_run_params_in_file folder_path filename run_config
begin
with open join path folder_path string run_params.conf string w as run_param_file
begin
for tuple attr value in sorted items __dict__
begin
write run_param_file attr + string : + string value + string
end
end
end function | def save_run_params_in_file(folder_path, filename, run_config):
with open(path.join(folder_path, "run_params.conf"), 'w') as run_param_file:
for attr, value in sorted(run_config.__dict__.items()):
run_param_file.write(attr + ': ' + str(value) + '\n') | Python | nomic_cornstack_python_v1 |
from sklearn.datasets import load_breast_cancer
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import cross_validate , KFold
from numpy import mean
from pandas import DataFrame
from openpyxl import load_workbook
import pandas as pd
import matpl... | from sklearn.datasets import load_breast_cancer
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import cross_validate, KFold
from numpy import mean
from pandas import DataFrame
from openpyxl import load_workbook
import pandas as pd
impor... | Python | zaydzuhri_stack_edu_python |
comment =-=-=-= DAY 78 [Medium] =-=-=-=
comment Given k sorted singly linked lists, write a function to merge all the lists into
comment one sorted singly linked list. | # =-=-=-= DAY 78 [Medium] =-=-=-=
#
# Given k sorted singly linked lists, write a function to merge all the lists into
# one sorted singly linked list.
| Python | zaydzuhri_stack_edu_python |
function heuristic_3_correction h root_h
begin
comment resultant =
set resultant = 1 - if expression h < root_h then h / root_h else 0
debug string Corrected heuristic value 3: { resultant }
return resultant
end function | def heuristic_3_correction(h: float, root_h: float):
# resultant =
resultant = 1 - ((h / root_h) if h < root_h else 0)
logger.debug(f'Corrected heuristic value 3: {resultant}')
return resultant | Python | nomic_cornstack_python_v1 |
function _per_cycle_intensities_to_signal_lognormal intensities per_cycle_parameters max_possible=5
begin
raise call NotImplementedError
end function | def _per_cycle_intensities_to_signal_lognormal(intensities,
per_cycle_parameters,
max_possible=5):
raise NotImplementedError() | Python | nomic_cornstack_python_v1 |
comment print absolute value of an integer
set a = input string please enter a number
set a = integer a
if a >= 0
begin
print a
end
else
begin
print - a
end | # print absolute value of an integer
a = input ('please enter a number')
a = int(a)
if a >= 0:
print (a)
else:
print (-a) | Python | zaydzuhri_stack_edu_python |
function validate_fuzzer fuzzer
begin
if not match FUZZER_NAME_REGEX fuzzer
begin
raise exception string Fuzzer "%s" may only contain lowercase letters, numbers, or underscores. % fuzzer
end
set fuzzers_directories = call get_directories FUZZERS_DIR
if fuzzer not in fuzzers_directories
begin
raise exception string Fuzz... | def validate_fuzzer(fuzzer: str):
if not re.match(FUZZER_NAME_REGEX, fuzzer):
raise Exception(
'Fuzzer "%s" may only contain lowercase letters, numbers, '
'or underscores.' % fuzzer)
fuzzers_directories = get_directories(FUZZERS_DIR)
if fuzzer not in fuzzers_directories:
... | Python | nomic_cornstack_python_v1 |
import datasets
import os
import re
from collections import Counter
import tensorflow as tf
from sklearn.model_selection import train_test_split
comment Converts the unicode file to ascii
function unicode_to_ascii s
begin
return join string generator expression c for c in call normalize string NFD s if call category c... | import datasets
import os
import re
from collections import Counter
import tensorflow as tf
from sklearn.model_selection import train_test_split
# Converts the unicode file to ascii
def unicode_to_ascii(s):
return ''.join(c for c in unicodedata.normalize('NFD', s)
if unicodedata.category(c) != 'Mn')
def... | Python | zaydzuhri_stack_edu_python |
function __init__ __self__ name type arguments=none defines=none depends_on=none description=none get_debug_info=none linked_service_name=none on_inactive_mark_as=none policy=none query_timeout=none script_linked_service=none script_path=none state=none storage_linked_services=none user_properties=none variables=none
b... | def __init__(__self__, *,
name: str,
type: str,
arguments: Optional[Sequence[Any]] = None,
defines: Optional[Mapping[str, Any]] = None,
depends_on: Optional[Sequence['outputs.ActivityDependencyResponse']] = None,
descr... | Python | nomic_cornstack_python_v1 |
function load_data filename
begin
assert exists path filename == true
set dat = call loadmat filename
set inputs = dat at string inputs
comment print len(inputs)
set targets = dat at string targets
comment print len(targets)
assert length inputs == length targets
global alldata
global indim
global outdim
set indim = le... | def load_data(filename):
assert os.path.exists(filename)==True
dat = scipy.io.loadmat(filename)
inputs = dat['inputs']
#print len(inputs)
targets = dat['targets']
#print len(targets)
assert len(inputs)==len(targets)
global alldata
global indim
global outdim
indim = len(inp... | Python | nomic_cornstack_python_v1 |
function _get_design self mean_part inno_part poly_orders
begin
if length poly_orders == 3
begin
set mat_X = call _build_dmatrix mean_part poly_orders at 0 + 1
set mat_Z = call _build_dmatrix inno_part poly_orders at 1 + 1
set mat_W = call _build_mat_W poly_orders at 2 + 1
end
else
begin
set mat_X = array call dmatrix ... | def _get_design(self, mean_part, inno_part, poly_orders):
if len(poly_orders) == 3:
mat_X = self._build_dmatrix(mean_part, poly_orders[0] + 1)
mat_Z = self._build_dmatrix(inno_part, poly_orders[1] + 1)
mat_W = self._build_mat_W(poly_orders[2] + 1)
else:
... | Python | nomic_cornstack_python_v1 |
function CmndConverter valuemapping value idx readconverter writeconverter tasmotacmnd
begin
set result = none
if callable readconverter and readconverter == passwordread or callable writeconverter and writeconverter == passwordwrite
begin
if value == HIDDEN_PASSWORD
begin
return none
end
else
begin
set result = value
... | def CmndConverter(valuemapping, value, idx, readconverter, writeconverter, tasmotacmnd):
result = None
if (callable(readconverter) and readconverter == passwordread) or (callable(writeconverter) and writeconverter == passwordwrite):
if value == HIDDEN_PASSWORD:
return None
else:
... | Python | nomic_cornstack_python_v1 |
function diconnect_vpn self
begin
popen string net stop "Wacom Professional Service" shell=true
call setIcon call QIcon string unlock.png
call setToolTip string Pan GPS: Disconnected
call showMessage string Pan GPS string Disconnected
end function | def diconnect_vpn(self):
subprocess.Popen('net stop "Wacom Professional Service"', shell=True)
self.setIcon(QtGui.QIcon('unlock.png'))
self.setToolTip('Pan GPS: Disconnected')
self.showMessage('Pan GPS', 'Disconnected') | Python | nomic_cornstack_python_v1 |
function policy_assignment_id self
begin
return get pulumi self string policy_assignment_id
end function | def policy_assignment_id(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "policy_assignment_id") | Python | nomic_cornstack_python_v1 |
function walklevel top_dir level=none
begin
set top_dir = right strip top_dir sep
assert is directory path top_dir
set num_sep = count top_dir sep
for tuple root dirs files in walk top_dir
begin
yield tuple root dirs files
if level is not none
begin
set num_sep_this = count root sep
if num_sep + level <= num_sep_this
b... | def walklevel(top_dir, level=None):
top_dir = top_dir.rstrip(os.path.sep)
assert os.path.isdir(top_dir)
num_sep = top_dir.count(os.path.sep)
for root, dirs, files in os.walk(top_dir):
yield root, dirs, files
if level is not None:
num_sep_this = root.count(os.path.sep)
... | Python | nomic_cornstack_python_v1 |
function update self **kwargs
begin
for tuple field value in items kwargs
begin
set attribute self field value
end
save update_fields=list keys kwargs
end function | def update(self, **kwargs):
for field, value in kwargs.items():
setattr(self, field, value)
self.save(update_fields=list(kwargs.keys())) | Python | nomic_cornstack_python_v1 |
function longSub count longestList currentList
begin
set i = count
set lengList = currentList
print string Current best: + string longestList
set done = false
while i < listLen + 1 and done == false
begin
if numlistsplit at i != string and done == false
begin
comment if the current element is greater than the previous... | def longSub(count, longestList, currentList):
i = count
lengList = currentList
print("Current best: " + str(longestList))
done = False
while i < listLen + 1 and done == False:
if numlistsplit[i] != "" and done == False:
if int(numlistsplit[i]) >= int(numlists... | Python | zaydzuhri_stack_edu_python |
function load_PublicKey self file
begin
set public_key = call import_key read open file string rb
end function | def load_PublicKey(self, file):
self.public_key=RSA.import_key(open(file,"rb").read()) | Python | nomic_cornstack_python_v1 |
function align_strs x y
begin
set lines_x = split x string
set lines_y = split y string
set max_len = max length lines_x length lines_y
set result = string
for i in range max_len
begin
if i < length lines_x
begin
set result = result + lines_x at i + string
end
if i < length lines_y
begin
set result = result + lines_y... | def align_strs(x,y):
lines_x = x.split('\n')
lines_y = y.split('\n')
max_len = max(len(lines_x),len(lines_y))
result = ""
for i in range(max_len):
if i < len(lines_x):
result += lines_x[i] + "\n"
if i < len(lines_y):
result += lines_y[i] + "\n"
return result | Python | jtatman_500k |
function sieve_of_eratosthenes n
begin
comment Create a boolean array "prime[0..n]" and initialize
comment all entries it as true. A value in prime[i] will
comment finally be false if i is Not a prime, else true.
set prime = list comprehension true for i in range n + 1
set p = 2
while p * p <= n
begin
comment If prime[... | def sieve_of_eratosthenes(n):
# Create a boolean array "prime[0..n]" and initialize
# all entries it as true. A value in prime[i] will
# finally be false if i is Not a prime, else true.
prime = [True for i in range(n + 1)]
p = 2
while (p * p <= n):
# If prime[p] is not changed, th... | Python | iamtarun_python_18k_alpaca |
comment 多个小球在画布中移动
from tkinter import *
import random
import time
class Ball
begin
function __init__ self canvas color sx sy
begin
set canvas = canvas
set id = call create_oval 20 20 55 55 fill=color
move id sx sy
comment 移动速度
set starts = list - 3 - 2 - 1 1 2 3
shuffle random starts
set x = starts at 0
set y = starts... | #多个小球在画布中移动
from tkinter import *
import random
import time
class Ball:
def __init__(self,canvas,color,sx,sy):
self.canvas = canvas
self.id=canvas.create_oval(20,20,55,55,fill=color)
self.canvas.move(self.id,sx,sy)
starts=[-3,-2,-1,1,2,3]#移动速度
random.shuffle(starts)... | Python | zaydzuhri_stack_edu_python |
function encodeSettingsJSONDict self
begin
set dct = call encodeSettingsJSONDict
update dct dict string numberOfIterations _numberOfIterations ; string maximumSubIterations _maximumSubIterations ; string updateReferenceState _updateReferenceState
return dct
end function | def encodeSettingsJSONDict(self) -> dict:
dct = super().encodeSettingsJSONDict()
dct.update({
"numberOfIterations": self._numberOfIterations,
"maximumSubIterations": self._maximumSubIterations,
"updateReferenceState": self._updateReferenceState
})
... | Python | nomic_cornstack_python_v1 |
function test_callables_rendered
begin
set v_content = string {% <5 %}bla{% end %}
set v_headers = dict string foo string {% <5 %}bar{% end %}
set v_status = string {% <5 %}999{% end %}
class TestFile extends File
begin
set content = lambda p -> tuple v_content true
set headers = lambda p -> tuple v_headers true
set st... | def test_callables_rendered():
v_content = '{% <5 %}bla{% end %}'
v_headers = {'foo': '{% <5 %}bar{% end %}'}
v_status = '{% <5 %}999{% end %}'
class TestFile(test.File):
content = lambda p: (v_content, True)
headers = lambda p: (v_headers, True)
status = lambda p: (v_st... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Tue May 02 16:50:38 2017 @author: Shah Faisal Mazhar
comment Keep this .py file with the data file to get the result
import xml.etree.cElementTree as ET
comment Loading the xml file
set tree = call ElementTree file=string CsI.xml
set root = get root tree
comment Creating ... | # -*- coding: utf-8 -*-
"""
Created on Tue May 02 16:50:38 2017
@author: Shah Faisal Mazhar
"""
#Keep this .py file with the data file to get the result
import xml.etree.cElementTree as ET
#Loading the xml file
tree=ET.ElementTree(file="CsI.xml")
root=tree.getroot()
#Creating seperate files for each of the ... | Python | zaydzuhri_stack_edu_python |
function build_batch_spec self batch_definition
begin
set batch_spec_params : dict = call _generate_batch_spec_parameters_from_batch_definition batch_definition=batch_definition
comment batch_spec_passthrough via Data Connector config
set batch_spec_passthrough : dict = deep copy batch_spec_passthrough
comment batch_sp... | def build_batch_spec(self, batch_definition: BatchDefinition) -> BatchSpec:
batch_spec_params: dict = (
self._generate_batch_spec_parameters_from_batch_definition(
batch_definition=batch_definition
)
)
# batch_spec_passthrough via Data Connector config
... | Python | nomic_cornstack_python_v1 |
function get_keywords target_dir ref_dir num_keywords min_freq
begin
comment get number of words and freqs in target and reference directories
set tuple target_num_wds target_freqs = call get_num_wds_freqs target_dir
set tuple ref_num_wds ref_freqs = call get_num_wds_freqs ref_dir
comment calculate frequency ratio betw... | def get_keywords(target_dir, ref_dir, num_keywords, min_freq):
# get number of words and freqs in target and reference directories
target_num_wds, target_freqs = get_num_wds_freqs(target_dir)
ref_num_wds, ref_freqs = get_num_wds_freqs(ref_dir)
# calculate frequency ratio between target corpus and refe... | Python | nomic_cornstack_python_v1 |
function send_email subject content
begin
set gmail_address = CREDS at string gmail_address
set gmail_password = CREDS at string gmail_password
set message = call MIMEText content
set message at string Subject = string survey.py complete
set message at string From = gmail_address
set message at string To = gmail_addres... | def send_email(subject, content):
gmail_address = CREDS['gmail_address']
gmail_password = CREDS['gmail_password']
message = MIMEText(content)
message['Subject'] = 'survey.py complete'
message['From'] = gmail_address
message['To'] = gmail_address | Python | nomic_cornstack_python_v1 |
function print_tree self spacing=string
begin
comment Base case: we've reached a leaf
if is instance root Leaf
begin
print spacing + string Predict predictions
return
end
comment Print the question at this node
print spacing + string question
comment Call this function recursively on the true branch
print spacing + str... | def print_tree(self, spacing=""):
# Base case: we've reached a leaf
if isinstance(self.root, Leaf):
print(spacing + "Predict", self.root.predictions)
return
# Print the question at this node
print(spacing + str(self.root.question))
# Call this function ... | Python | nomic_cornstack_python_v1 |
function has_stp_cli self
begin
set cmd = call cli string show spanning-tree active
return string enabled in cmd
end function | def has_stp_cli(self):
cmd = self.cli("show spanning-tree active")
return " enabled " in cmd | Python | nomic_cornstack_python_v1 |
import os
import random
import re
import sys
import math
from collections import Counter
set DAMPING = 0.85
set SAMPLES = 10000
function main
begin
if length argv != 2
begin
exit string Usage: python pagerank.py corpus
end
set corpus = call crawl argv at 1
set ranks = call sample_pagerank corpus DAMPING SAMPLES
print s... | import os
import random
import re
import sys
import math
from collections import Counter
DAMPING = 0.85
SAMPLES = 10000
def main():
if len(sys.argv) != 2:
sys.exit("Usage: python pagerank.py corpus")
corpus = crawl(sys.argv[1])
ranks = sample_pagerank(corpus, DAMPING, SAMPLES)
print(f"PageRan... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment -*- coding: utf-8 -*-
set fileline = list
with open string CONTCAR string r as f
begin
set lines = read lines f
for line in lines
begin
append fileline split strip line
end
end
set atomx = list
for i in range 2 4
begin
append atomx round decimal fileline at i at 0 4
end
set atomy = li... | #!/usr/bin/python
# -*- coding: utf-8 -*-
fileline=[]
with open ("CONTCAR",'r') as f:
lines=f.readlines()
for line in lines:
fileline.append(line.strip().split())
atomx=[]
for i in range(2,4):
atomx.append(round(float(fileline[i][0]),4))
atomy=[]
for i in range(2,4):
atomy.appe... | Python | zaydzuhri_stack_edu_python |
function rename_link_dialog self
begin
set old_link = string call text
set rename_link_dialog = call QDialog
set new_link_layout = call QVBoxLayout
set link_name = call QLineEdit
set button_box = call QDialogButtonBox
call addButton Cancel
call connect reject
set link_create_btn = string Rename Link
set link_create_btn... | def rename_link_dialog(self):
old_link = str(self.sender().currentItem().text())
rename_link_dialog = QtGui.QDialog()
new_link_layout = QtGui.QVBoxLayout()
link_name = QtGui.QLineEdit()
button_box = QtGui.QDialogButtonBox()
button_box.addButton(QtGui.QDialogButtonBox.... | Python | nomic_cornstack_python_v1 |
async function test_scan_devices_without_session_wrong_re hass aioclient_mock
begin
get aioclient_mock format string http://{}/common_page/login.html HOST cookies=dict string sessionToken string 654321
post format string http://{}/xml/getter.xml HOST content=b'successful' cookies=dict string sessionToken string 654321
... | async def test_scan_devices_without_session_wrong_re(hass, aioclient_mock):
aioclient_mock.get(
"http://{}/common_page/login.html".format(HOST),
cookies={'sessionToken': '654321'}
)
aioclient_mock.post(
"http://{}/xml/getter.xml".format(HOST),
content=b'successful',
c... | Python | nomic_cornstack_python_v1 |
function get_spectrum self leftchan=1 rightchan=- 1
begin
return array call GetSpectrum leftchan rightchan
end function | def get_spectrum(self, leftchan=1, rightchan=-1):
return np.array(self.det.GetSpectrum(leftchan, rightchan)) | Python | nomic_cornstack_python_v1 |
function _parse_network_settings opts current
begin
comment Normalize keys
set opts = dictionary comprehension lower k : v for tuple k v in items opts
set current = dictionary comprehension lower k : v for tuple k v in items current
comment Check for supported parameters
set retain_settings = get opts string retain_set... | def _parse_network_settings(opts, current):
# Normalize keys
opts = {k.lower(): v for (k, v) in opts.items()}
current = {k.lower(): v for (k, v) in current.items()}
# Check for supported parameters
retain_settings = opts.get("retain_settings", False)
result = {}
if retain_settings:
... | Python | nomic_cornstack_python_v1 |
function resolve_file file
begin
if call is_file
begin
return string call Path file
end
if call is_file
begin
return string call Path expand user path file
end
raise call ValueError string File path ` { file } ` could not be resolved
end function | def resolve_file(file: str) -> str:
if Path(file).is_file():
return str(Path(file))
if Path(os.path.expanduser(file)).is_file():
return str(Path(os.path.expanduser(file)))
raise ValueError(f"File path `{file}` could not be resolved") | Python | nomic_cornstack_python_v1 |
function plot_many_y_break_x x y yer=none xlabel=none ylabel=none ynames=none label=none domain=none domain_2=none frac=none yrange=none undertext=none savedir=none marker=none plotspecs=none groupings=none vlines=none legend_title=none n_legend_columns=none text=none
begin
if savedir is none
begin
set save_dir = get c... | def plot_many_y_break_x(x, y, yer=None, xlabel = None, ylabel = None, ynames = None, label = None, domain=None, domain_2=None, frac=None,
yrange = None, undertext =None, savedir = None, marker=None, plotspecs = None, groupings=None,
vlines = None, legend_title=None, n_leg... | Python | nomic_cornstack_python_v1 |
function use_move self a d move
begin
if name == string Switch
begin
return call send_out_lead_quietly team_id
end
if not call inhibitors a
begin
return
end
comment creating an actual Move object from the storage object
set m = call unpack
call set_up_move a m
append channel string { name } used ** { name } **!
set las... | def use_move(self, a: pk.Mon, d: pk.Mon, move: pk.PackedMove):
if move.name == "Switch":
return self.send_out_lead_quietly(a.team_id)
if not self.inhibitors(a):
return
m = move.unpack() # creating an actual Move object from the storage object
self.set... | Python | nomic_cornstack_python_v1 |
import sys
import mrjob
from mrjob.job import MRJob
import re
from itertools import islice , izip
import itertools
from mrjob.step import MRStep
from mrjob.protocol import JSONValueProtocol
set WORD_RE = compile string [a-zA-Z]+
class BigramCount extends MRJob
begin
set OUTPUT_PROTOCOL = JSONValueProtocol
function mapp... | import sys
import mrjob
from mrjob.job import MRJob
import re
from itertools import islice, izip
import itertools
from mrjob.step import MRStep
from mrjob.protocol import JSONValueProtocol
WORD_RE = re.compile(r'[a-zA-Z]+')
class BigramCount(MRJob):
OUTPUT_PROTOCOL = JSONValueProtocol
def map... | Python | jtatman_500k |
comment An example of the back-tracking algorithm.
comment Essentially, teaching a computer to find a word in a dictionary matching
comment a given string of characters.
comment This demonstrates the simple algorithm of backtracking using
comment a one dimensional example -- matching letters from the Word Jumble
commen... | #
# An example of the back-tracking algorithm.
#
# Essentially, teaching a computer to find a word in a dictionary matching
# a given string of characters.
#
# This demonstrates the simple algorithm of backtracking using
# a one dimensional example -- matching letters from the Word Jumble
# to letters in the dict... | Python | zaydzuhri_stack_edu_python |
function Inject self pad=0 *args
begin
call AssertPadIndex pad
for arg in args
begin
if is instance object tuple
begin
set tuple obj props = object
if not is instance props dict
begin
raise call TypeError format string Injection failed: {} is not a valid format! arg
end
call Register obj pad keyword props
end
else
begi... | def Inject(self, pad=0, *args):
self.AssertPadIndex(pad)
for arg in args:
if isinstance(object, tuple):
obj, props = object
if not isinstance(props, dict):
raise TypeError(
"Injection failed: {} is not a valid format... | Python | nomic_cornstack_python_v1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.